Shin Nagai
Orcid: 0000-0003-0957-920X
According to our database1,
Shin Nagai
authored at least 20 papers
between 2011 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
A Semiempirical Approach for Decomposition of Remotely Sensed Leaf Area Index Into Overstory and Understory Components Over Russian Forests.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan.
Remote. Sens., 2022
2020
Landslide Detection with Himawari-8 Geostationary Satellite Data: A Case Study of a Torrential Rain Event in Kyushu, Japan.
Remote. Sens., 2020
Use of sea surface discoloration to monitor and discriminate the causative genera of harmful algal blooms (HABs): Practical use of digital repeat photography.
Ecol. Informatics, 2020
A simpler way to predict flowering and full bloom dates of cherry blossoms by self-organizing maps.
Ecol. Informatics, 2020
Ecol. Informatics, 2020
2019
Evaluating land surface phenology from the Advanced Himawari Imager using observations from MODIS and the Phenological Eyes Network.
Int. J. Appl. Earth Obs. Geoinformation, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
In Situ Observations Reveal How Spectral Reflectance Responds to Growing Season Phenology of an Open Evergreen Forest in Alaska.
Remote. Sens., 2018
2017
Correction: Anderson, H.B. et al. Using Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetation. <i>Remote Sens.</i> 2016, <i>8</i>, 847.
Remote. Sens., 2017
2016
Using Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetation.
Remote. Sens., 2016
Usability of time-lapse digital camera images to detect characteristics of tree phenology in a tropical rainforest.
Ecol. Informatics, 2016
2015
Ecol. Informatics, 2015
Utilization of ground-based digital photography for the evaluation of seasonal changes in the aboveground green biomass and foliage phenology in a grassland ecosystem.
Ecol. Informatics, 2015
2014
Spatial Scale and Landscape Heterogeneity Effects on FAPAR in an Open-Canopy Black Spruce Forest in Interior Alaska.
IEEE Geosci. Remote. Sens. Lett., 2014
Detection of the different characteristics of year-to-year variation in foliage phenology among deciduous broad-leaved tree species by using daily continuous canopy surface images.
Ecol. Informatics, 2014
2013
Utility of information in photographs taken upwards from the floor of closed-canopy deciduous broadleaved and closed-canopy evergreen coniferous forests for continuous observation of canopy phenology.
Ecol. Informatics, 2013
2012
A Vegetation Index to Estimate Terrestrial Gross Primary Production Capacity for the Global Change Observation Mission-Climate (GCOM-C)/Second-Generation Global Imager (SGLI) Satellite Sensor.
Remote. Sens., 2012
Assessing the use of camera-based indices for characterizing canopy phenology in relation to gross primary production in a deciduous broad-leaved and an evergreen coniferous forest in Japan.
Ecol. Informatics, 2012
2011
Evaluation of Sub-Pixel Cloud Noises on MODIS Daily Spectral Indices Based on <i>in situ</i> Measurements.
Remote. Sens., 2011